Sr BigData Developer

Join us as a Sr BigData Developer at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of team of developers, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions.

To be successful as a Sr BigData Developer you should have experience with:

Basic/ Essential Qualifications:

• Experience in Quantexa ETL and Scoring Framework.
  Good understanding in AWS cloud services like EC2, Glue, S3, IAM, RDS, EKS, EMR.

• Good understanding on DevOps Tools: Jenkins, Bitbucket.

• Strong written and verbal communication skills.

• experience in designing and developing Big Data solutions in Scala/Spark to solve relevant business problems.

• Mandatory to have Quantexa academy accreditation.

Some other highly valued skills includes:

• Collaborate with client to understand their business needs and requirement.

• Develop, configuration and enhancement Quantexa Scores & ETL as per business requirement.

• Managing , transforming and cleansing high volume data into Quantexa entities and network.

• Conduct testing and Quality assurance to ensure the accuracy of Quantexa implementation.

• implementing deployment pipelines using CI/CD, Jenkin.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based out of Pune.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively.
• Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.